| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 444 | 22 | 35 | 6 |
The scientific interests tackled in the journal are Statistics, Estimator, Applied mathematics, Econometrics and Mathematical optimization. Nonparametric statistics, Sampling (statistics), Bias of an estimator, Bayesian probability and Sample size determination are all topics related to Statistics research discussed. The work tackled in the journal goes beyond the discipline of Nonparametric statistics as it also encompasses Predictive inference.
Discussions in the journal are anchored in the subject of Estimator and the similar topic of Mean squared error. While the journal focused on Applied mathematics, it was also able to explore topics like Function (mathematics), Bivariate analysis and Monte Carlo method. It focuses on Mathematical optimization research which is adjacent to topics in Optimal design.
The main points discussed in the most cited papers deal with Statistics, Estimator, Econometrics, Applied mathematics and Mean squared error. While Estimator is the focus of the most cited publications, it also provides insights into the studies of Estimation theory, Stationary sequence, Fraction (mathematics) and Distribution (mathematics). The published papers address concerns in Econometrics which are intertwined with other disciplines, such as Empirical evidence, Regression analysis, Upper and lower probabilities and Markov chain.
The journal primarily focuses on research topics in Applied mathematics, Statistics, Estimator, Algorithm and Nonparametric statistics. It holds forums on Applied mathematics that merges themes from other disciplines such as Random variable, Linear model, Maximum likelihood, Function (mathematics) and Monte Carlo method. The journal investigates Statistics research which frequently intersects with Context (language use).
The work on Estimator tackled in Journal of statistical theory and practice brings together disciplines like Class (set theory), Exponential distribution and Imputation (statistics). It addresses concerns in Algorithm which are intertwined with other disciplines, such as Artificial neural network and Bayesian probability. Asymptotic distribution research discussed connects with the study of Consistency (statistics).
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Journal of statistical theory and practice (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Journal of statistical theory and practice (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 8.64% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 18.92% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.46% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.32% of all publications and 47.30% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Malay Ghosh
(2021)Fernanda L. Schumacher;Dipak K. Dey;Victor H. Lachos
(2021)Seng Huat Ong;Ramesh C. Gupta;Tiefeng Ma;Shin Zhu Sim
(2021)Yuanyuan Zhu;Philip L. H. Yu;Thomas Mathew
(2020)Ayan Pal;Sharmishtha Mitra;Debasis Kundu
(2021)Debasis Kundu;Rhythm Grover
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